Hiroshi Motoda

According to our database1, Hiroshi Motoda authored at least 187 papers between 1983 and 2020.

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Bibliography

2020
Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes.
Int. J. Data Sci. Anal., 2020

Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Critical Node Identification based on Articulation Point Detection for Uncertain Network.
Int. J. Netw. Comput., 2019

Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
Accurate and efficient detection of critical links in network to minimize information loss.
J. Intell. Inf. Syst., 2018

Which is more influential, "Who" or "When" for a user to rate in online review site?
Intell. Data Anal., 2018

Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Critical Node Identification Based on Articulation Point Detection for Network with Uncertain Connectivity.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018

2017
An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Discovering Cooperative Structure Among Online Items for Attention Dynamics.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Super mediator - A new centrality measure of node importance for information diffusion over social network.
Inf. Sci., 2016

Speeding-up node influence computation for huge social networks.
Int. J. Data Sci. Anal., 2016

Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Looking back on the current day: interruptibility prediction using daily behavioral features.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Accelerating Computation of Distance Based Centrality Measures for Spatial Networks.
Proceedings of the Discovery Science - 19th International Conference, 2016

2015
Change point detection for burst analysis from an observed information diffusion sequence of tweets.
J. Intell. Inf. Syst., 2015

Efficient Learning of User Conformity on Review Score.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Change Point Detection for Information Diffusion Tree.
Proceedings of the Discovery Science - 18th International Conference, 2015

Combining activity-evaluation information with NMF for trust-link prediction in social media.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014
Uncovering deception in social media.
Soc. Netw. Anal. Min., 2014

A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

A Method to Divide Stream Data of Scores over Review Sites.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Welcome from DSAA 2014 chairs.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Efficient analysis of node influence based on SIR model over huge complex networks.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Resampling-Based Framework for Estimating Node Centrality of Large Social Network.
Proceedings of the Discovery Science - 17th International Conference, 2014

2013
Detecting changes in information diffusion patterns over social networks.
ACM Trans. Intell. Syst. Technol., 2013

Introduction: special issue of selected papers of ACML 2012.
Mach. Learn., 2013

Special issue on behavior computing.
Knowl. Inf. Syst., 2013

Learning to predict opinion share and detect anti-majority opinionists in social networks.
J. Intell. Inf. Syst., 2013

Which Targets to Contact First to Maximize Influence over Social Network.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Identifying Super-Mediators of Information Diffusion in Social Networks.
Proceedings of the Discovery Science - 16th International Conference, 2013

Detecting changes in content and posting time distributions in social media.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Efficient discovery of influential nodes for SIS models in social networks.
Knowl. Inf. Syst., 2012

Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks
CoRR, 2012

Graph embedding on spheres and its application to visualization of information diffusion data.
Proceedings of the 21st World Wide Web Conference, 2012

Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models.
Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

Opinion Formation by Voter Model with Temporal Decay Dynamics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Network Analysis of Three Twitter Functions: Favorite, Follow and Mention.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012

Burst Detection in a Sequence of Tweets Based on Information Diffusion Model.
Proceedings of the Discovery Science - 15th International Conference, 2012

2011
Learning Attribute-weighted Voter Model over Social Networks.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Estimating Diffusion Probability Changes for AsIC-SIS Model.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Learning information diffusion model in a social network for predicting influence of nodes.
Intell. Data Anal., 2011

Efficient Detection of Hot Span in Information Diffusion from Observation
CoRR, 2011

Learning Information Diffusion Models from Observation and Its Application to Behavior Analysis.
Proceedings of the Social Informatics - Third International Conference, SocInfo 2011, 2011

Detecting Changes in Opinion Value Distribution for Voter Model.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

Learning Diffusion Probability Based on Node Attributes in Social Networks.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model.
Proceedings of the Discovery Science - 14th International Conference, 2011

Speeding Up Bipartite Graph Visualization Method.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Generative Models of Information Diffusion with Asynchronous Timedelay.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Feature Selection: An Ever Evolving Frontier in Data Mining.
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010

Preface.
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010

Editorial.
Intell. Data Anal., 2010

Extracting influential nodes on a social network for information diffusion.
Data Min. Knowl. Discov., 2010

Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network.
Proceedings of the Advances in Social Computing, 2010

Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Selecting Information Diffusion Models over Social Networks for Behavioral Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Acquiring Expected Influence Curve from Single Diffusion Sequence.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Finding Relation between PageRank and Voter Model.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Discovery of Super-Mediators of Information Diffusion in Social Networks.
Proceedings of the Discovery Science - 13th International Conference, 2010

Learning to Predict Opinion Share in Social Networks.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Blocking links to minimize contamination spread in a social network.
ACM Trans. Knowl. Discov. Data, 2009

Preface.
Int. J. Softw. Informatics, 2009

Efficient Estimation of Influence Functions for SIS Model on Social Networks.
Proceedings of the IJCAI 2009, 2009

Discovering Influential Nodes for SIS Models in Social Networks.
Proceedings of the Discovery Science, 12th International Conference, 2009

Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis.
Proceedings of the Advances in Machine Learning, 2009

2008
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm.
IEEE Trans. Knowl. Data Eng., 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Effective Visualization of Information Diffusion Process over Complex Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining.
Proceedings of the Knowledge Acquisition: Approaches, 2008

What Does an Information Diffusion Model Tell about Social Network Structure?.
Proceedings of the Knowledge Acquisition: Approaches, 2008

Community analysis of influential nodes for information diffusion on a social network.
Proceedings of the International Joint Conference on Neural Networks, 2008

Minimizing the Spread of Contamination by Blocking Links in a Network.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
A Classification Method Based on Subspace Clustering and Association Rules.
New Gener. Comput., 2007

Search engine retrieval of changing information.
Proceedings of the 16th International Conference on World Wide Web, 2007

Pattern Discovery from Graph-Structured Data - A Data Mining Perspective.
Proceedings of the New Trends in Applied Artificial Intelligence, 2007

Communicability Criteria of Law Equations Discovery.
Proceedings of the Computational Discovery of Scientific Knowledge, 2007

2006
A study on rough set-aided feature selection for automatic web-page classification.
Web Intell. Agent Syst., 2006

Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search.
Proceedings of the Advances in Knowledge Acquisition and Management, 2006

Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques.
Proceedings of the New Frontiers in Artificial Intelligence, 2006

A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

What Can We Do with Graph-Structured Data? - A Data Mining Perspective.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Multi-structure Information Retrieval Method Based on Transformation Invariance.
New Gener. Comput., 2005

Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models.
J. Exp. Theor. Artif. Intell., 2005

A General Framework for Mining Frequent Subgraphs from Labeled Graphs.
Fundam. Informaticae, 2005

Constructing a Decision Tree for Graph-Structured Data and its Applications.
Fundam. Informaticae, 2005

Memory Management of Density-Based Spam Detector.
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet (SAINT 2005), 31 January, 2005

A Framework of Numerical Basket Analysis.
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005

Deriving Class Association Rules Based on Levelwise Subspace Clustering.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Mutagenicity Risk Analysis by Using Class Association Rules.
Proceedings of the New Frontiers in Artificial Intelligence, 2005

Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Efficient Mining of High Branching Factor Attribute Trees.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos.
Proceedings of the Discovery Science, 8th International Conference, 2005

Graph Clustering Based on Structural Similarity of Fragments.
Proceedings of the Federation over the Web, 2005

Refining diagnostic knowledge extracted from interferon therapy by graph-based induction.
Proceedings of the 2005 International Conference on Active Media Technology, 2005

Performance evaluation of fusing two different knowledge sources in Ripple Down Rules method.
Proceedings of the 2005 International Conference on Active Media Technology, 2005

2004
Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.
Mach. Learn., 2004

Editorial: Data Mining Lessons Learned.
Mach. Learn., 2004

Density-Based Spam Detector.
IEICE Trans. Inf. Syst., 2004

Adaptive Ripple Down Rules method based on minimum description length principle.
Intell. Data Anal., 2004

A selective sampling approach to active feature selection.
Artif. Intell., 2004

Using a Hash-Based Method for Apriori-Based Graph Mining.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Compact Dual Ensembles for Active Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Consumer Behavior Analysis by Graph Mining Technique.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Workshop on Active Mining (AM-2004).
Proceedings of the New Frontiers in Artificial Intelligence - JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31, 2004

Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction.
Proceedings of the New Frontiers in Artificial Intelligence - JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31, 2004

Constructive Inductive Learning Based on Meta-attributes.
Proceedings of the Discovery Science, 7th International Conference, 2004

2003
Preface.
Theor. Comput. Sci., 2003

State of the art of graph-based data mining.
SIGKDD Explor., 2003

Complete Mining of Frequent Patterns from Graphs: Mining Graph Data.
Mach. Learn., 2003

Active Feature Selection Using Classes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Classifier Construction by Graph-Based Induction for Graph-Structured Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Development of Generic Search Method Based on Transformation Invariance.
Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Performance Evaluation of Decision Tree Graph-Based Induction.
Proceedings of the Discovery Science, 6th International Conference, 2003

Active Mining Project: Overview.
Proceedings of the Active Mining, Second International Workshop, 2003

Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction.
Proceedings of the Active Mining, Second International Workshop, 2003

2002
Attribute Generation Based on Association Rules.
Knowl. Inf. Syst., 2002

On Issues of Instance Selection.
Data Min. Knowl. Discov., 2002

Graph-based induction and its applications.
Adv. Eng. Informatics, 2002

Extension of the RDR Method That Can Adapt to Environmental Changes and Acquire Knowledge from Both Experts and Data.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Knowledge Discovery from Structured Data by Beam-Wise Graph-Based Induction.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Case Generation Method for Constructing an RDR Knowledge Base.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Feature Selection with Selective Sampling.
Proceedings of the Machine Learning, 2002

Adaptive Ripple Down Rules Method based on Minimum Description Length Principle.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Toward the Discovery of First Principle Based Scientific Law Equations.
Proceedings of the Progress in Discovery Science, 2002

Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
A Description Length-Based Decision Criterion for Default Knowledge in the Ripple Down Rules Method.
Knowl. Inf. Syst., 2001

Automatic Web-Page Classification by Using Machine Learning Methods.
Proceedings of the Web Intelligence: Research and Development, 2001

Knowledge Acquisition from Both Human Expert and Data.
Proceedings of the Knowledge Discovery and Data Mining, 2001

Basket Analysis on Meningitis Data.
Proceedings of the New Frontiers in Artificial Intelligence, 2001

S<sup>3</sup>Bagging: Fast Classifier Induction Method with Subsampling and Bagging.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Discovering Admissible Simultaneous Equation Models from Observed Data.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
Special Feature on Discovery Science.
New Gener. Comput., 2000

An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Extension of Graph-Based Induction for General Graph Structured Data.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Consistency Based Feature Selection.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Enhancing the Plausibility of Law Equation Discovery.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data.
Proceedings of the Discovery Science, 2000

1999
Characterization of Default Knowledge in Ripple Down Rules Method.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Computer Assisted Discovery of First Principle Equations from Numeric Data (Abstract).
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Basket Analysis for Graph Structured Data.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Graph-Based Induction for General Graph Structured Data.
Proceedings of the Discovery Science, 1999

Derivation of the Topology Structure from Massive Graph Data.
Proceedings of the Discovery Science, 1999

Feature Selection Using Consistency Measure.
Proceedings of the Discovery Science, 1999

1998
Discovery of first-principle equations based on scale-type-based and data-driven reasoning.
Knowl. Based Syst., 1998

Knowledge discovery and data mining.
Knowl. Based Syst., 1998

Guest Editors' Introduction: Feature Transformation and Subset Selection.
IEEE Intell. Syst., 1998

Machine Learning Techniques to Make Computers Easier to Use.
Artif. Intell., 1998

Mining Association Rules for Estimation and Prediction.
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

A Monotonic Measure for Optimal Feature Selection.
Proceedings of the Machine Learning: ECML-98, 1998

Development of SDS2: Smart Discovery System for Simultaneous Equation Systems.
Proceedings of the Discovery Science, 1998

Discovering Admissible Simultaneous Equations of Large Scale Systems.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Feature Selection for Knowledge Discovery and Data Mining
The Springer International Series in Engineering and Computer Science 454, Kluwer, ISBN: 978-1-4615-5689-3, 1998

1997
Help Desk System with Intelligent Interface.
Appl. Artif. Intell., 1997

Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Automated user modeling for intelligent interface.
Int. J. Hum. Comput. Interact., 1996

Process Labeled Kernel Profiling: A New Facility to Profile System Activities.
Proceedings of the USENIX Annual Technical Conference, 1996

A History-Oriented Envisioning Method.
Proceedings of the PRICAI'96: Topics in Artificial Intelligence, 1996

1995
Expert Systems Research in Japan.
IEEE Expert, 1995

CLIP: Concept Learning from Inference Patterns.
Artif. Intell., 1995

A Flash-Memory Based File System.
Proceedings of the USENIX 1995 Technical Conference on UNIX and Advanced Computing Systems, 1995

Tables, Graphs and Logic for Induction.
Proceedings of the Machine Intelligence 15, 1995

1994
Graph-based induction as a unified learning framework.
Appl. Intell., 1994

PCLEARN: A Computer Model for Learning Perceptual Chunks.
AI Commun., 1994

How Things Appear to Work: Predicting Behaviors from Device Diagrams.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
On dealing with dynamic utility of learned knowledge.
Proceedings of the Machine Intelligence 14, 1993

Unifying Learning Methods by Colored Digraphs.
Proceedings of the Algorithmic Learning Theory, 4th International Workshop, 1993

A Perceptual Criterion for Visually Controlling Learning.
Proceedings of the Algorithmic Learning Theory, 4th International Workshop, 1993

A New Algorithm for Automatic Configuration of Hidden Markov Models.
Proceedings of the Algorithmic Learning Theory, 4th International Workshop, 1993

1992
Learning Perceptually Chunked Macro Operators.
Proceedings of the Machine Intelligence 13, 1992

1991
Knowledge Acquisition for Knowledge-Based Systems.
IEEE Expert, 1991

Interview-Based Knowledge Acquisition Using Dynamic Analysis.
IEEE Expert, 1991

1990
The Current Status of Expert System Development and Related Technologies in Japan.
IEEE Expert, 1990

1988
Proving Definite Clauses without Explicit Use of Inductions.
Proceedings of the Logic Programming '88, 1988

1984
A Knowledge based System for Plant Diagnosis.
Proceedings of the International Conference on Fifth Generation Computer Systems, 1984

1983
A Diagnosis Method of Dynamic System Using the Knowledge on System Description.
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983


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